Archive: 2025/12

Vibe Coding Adoption Metrics and Industry Statistics That Matter
Vibe Coding Adoption Metrics and Industry Statistics That Matter

Tamara Weed, Dec, 29 2025

Vibe coding adoption is surging, with 84% of developers using AI tools-but only 9% trust them for production code. Learn the key stats, top platforms, security risks, and real-world usage patterns that define this new era of software development.

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Deterministic Prompts: How to Get Consistent Answers from Large Language Models
Deterministic Prompts: How to Get Consistent Answers from Large Language Models

Tamara Weed, Dec, 26 2025

Learn how to reduce unpredictable responses from AI models using deterministic prompts, temperature settings, and other proven techniques. Get consistent, reliable outputs for production use.

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Shadow AI Remediation: How to Bring Unapproved AI Tools into Compliance
Shadow AI Remediation: How to Bring Unapproved AI Tools into Compliance

Tamara Weed, Dec, 22 2025

Shadow AI-unapproved AI tools used by employees-is a growing compliance threat. Learn how to identify, govern, and bring these tools into compliance with real-world strategies and regulatory requirements.

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Parameter Counts in Large Language Models: Why Size and Scale Matter for Capability
Parameter Counts in Large Language Models: Why Size and Scale Matter for Capability

Tamara Weed, Dec, 20 2025

Parameter count in large language models determines their reasoning power, knowledge retention, and task performance. Bigger isn't always better-architecture, quantization, and efficiency matter just as much as raw size.

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How Large Language Models Communicate Uncertainty to Avoid False Answers
How Large Language Models Communicate Uncertainty to Avoid False Answers

Tamara Weed, Dec, 19 2025

Large language models often answer confidently even when they're wrong. Learn how new methods detect when they're out of their depth-and how to make them communicate uncertainty honestly to build real trust.

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Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101
Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101

Tamara Weed, Dec, 17 2025

Tensor parallelism is the key technique for running large language models across multiple GPUs. Learn how it splits model layers to fit bigger models on smaller hardware, its real-world performance, and how to use it with modern frameworks.

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Understanding Attention Head Specialization in Large Language Models
Understanding Attention Head Specialization in Large Language Models

Tamara Weed, Dec, 16 2025

Attention head specialization lets large language models process grammar, context, and meaning simultaneously through dozens of specialized internal processors. Learn how they work, why they matter, and what’s next.

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What Is the Parapsychological Association and What Do They Study?
What Is the Parapsychological Association and What Do They Study?

Tamara Weed, Dec, 15 2025

The Parapsychological Association is a respected scientific group studying psi phenomena like telepathy and precognition using rigorous methods. Founded in 1957, it's affiliated with the AAAS and includes university researchers worldwide.

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How Generative AI Is Transforming Manufacturing SOPs, Work Instructions, and QC Reports
How Generative AI Is Transforming Manufacturing SOPs, Work Instructions, and QC Reports

Tamara Weed, Dec, 15 2025

Generative AI is transforming manufacturing by auto-generating SOPs, work instructions, and QC reports in real time. Learn how it cuts errors, speeds up training, and empowers operators-with real examples from Georgia-Pacific, Bosch, and Hyundai.

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Build vs Buy for Generative AI Platforms: Decision Framework for CIOs
Build vs Buy for Generative AI Platforms: Decision Framework for CIOs

Tamara Weed, Dec, 11 2025

CIOs must choose between buying, boosting, or building generative AI platforms. This guide breaks down cost, speed, risk, and strategic value to help leaders make the right call-without wasting millions.

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